Suchergebnisse

In the UK, there are policy and regulatory concerns regarding the governance of care homes and healthcare provision within these homes. From a public health perspective, these issues can pose significant challenges to the provision of safe and quality medication use services to care home residents. The objective of this paper is to highlight an important and neglected issue for the growing population of institutionalized older adults. We reviewed relevant literature for the years 2000 to present and identified recent efforts undertaken to improve medication safety standards in UK care homes. We consider the limitations and reasons for the National Health Service's restricted role and lack of leadership in providing medical services for this institutionalized population. The efforts taken by the Department of Health and other healthcare authorities targeting medication safety in care homes are also highlighted. In order to improve the quality of healthcare, specifically in areas related to medication safety and quality use of medicines, interventions need to be taken by the national government and similarly by local authorities and NHS commissioners.

Health information technology can support the development of national learning health and care systems, which can be defined as health and care systems that continuously use data-enabled infrastructure to support policy and planning, public health, and personalisation of care. The COVID-19 pandemic has offered an opportunity to assess how well equipped the UK is to leverage health information technology and apply the principles of a national learning health and care system in response to a major public health shock. With the experience acquired during the pandemic, each country within the UK should now re-evaluate their digital health and care strategies. After leaving the EU, UK countries now need to decide to what extent they wish to engage with European efforts to promote interoperability between electronic health records. Major priorities for strengthening health information technology in the UK include achieving the optimal balance between top-down and bottom-up implementation, improving usability and interoperability, developing capacity for handling, processing, and analysing data, addressing privacy and security concerns, and encouraging digital inclusivity. Current and future opportunities include integrating electronic health records across health and care providers, investing in health data science research, generating real-world data, developing artificial intelligence and robotics, and facilitating public–private partnerships. Many ethical challenges and unintended consequences of implementation of health information technology exist. To address these, there is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems, create public–private partnerships, and ethically and safely apply artificial intelligence in the National Health Service.

BACKGROUND: Attempts to achieve digital transformation across the health service have stimulated increasingly large-scale and more complex change programmes. These encompass a growing range of functions in multiple locations across the system and may take place over extended timeframes. This calls for new approaches to evaluate these programmes. MAIN BODY: Drawing on over a decade of conducting formative and summative evaluations of health information technologies, we here build on previous work detailing evaluation challenges and ways to tackle these. Important considerations include changing organisational, economic, political, vendor and markets necessitating tracing of evolving networks, relationships, and processes; exploring mechanisms of spread; and studying selected settings in depth to understand local tensions and priorities. CONCLUSIONS: Decision-makers need to recognise that formative evaluations, if built on solid theoretical and methodological foundations, can help to mitigate risks and help to ensure that programmes have maximum chances of success.